Curriculum
- 17 Sections
- 257 Lessons
- 10 Weeks
- Fundamental of SCM1
- Key components of Supply Chain Management14
- Demand Planning and Forecasting13
- 3.11- Forecasting Methods and Techniques:
- 3.2Qualitative Methods
- 3.3Time Series Analysis
- 3.4Causal Models
- 3.5Simulation Models
- 3.6Machine Learning and Artificial Intelligence
- 3.72- Demand Variability and its Impact on the Supply Chain
- 3.8Bullwhip Effect
- 3.9Inventory Management
- 3.10Production Planning
- 3.11Supply Chain Resilience
- 3.12Rest
- 3.13Case Studies
- Inventory Management:3
- Logistics and Transportation12
- Supplier Relationship Management (SRM)16
- 6.11- Supplier Selection and Evaluation
- 6.2Strategic Alignment
- 6.3Performance Metrics
- 6.4Qualification Process
- 6.52- Contract Management
- 6.6Contract Development
- 6.7Risk Mitigation
- 6.8Flexibility and Adaptability
- 6.93- Collaboration and Communication with Suppliers
- 6.10Open Communication
- 6.11Collaborative Planning
- 6.12Conflict Resolution
- 6.13Information Sharing
- 6.14Performance Recognition
- 6.15Case Studies
- 6.16Rest
- Procurement and Strategic Sourcing22
- 7.11- Strategic Sourcing Process
- 7.2Assessment and Planning
- 7.3Market Analysis
- 7.4Supplier Evaluation and Selection
- 7.5Negotiation
- 7.6Contract Development
- 7.7Implementation and Performance Monitoring
- 7.82- Procurement Strategies
- 7.9Centralized Procurement
- 7.10Decentralized Procurement
- 7.11Outsourcing
- 7.12Supplier Relationship Management (SRM)
- 7.13Risk Management
- 7.143- Negotiation Skills and Supplier Contracts
- 7.15Effective Communication
- 7.16Analytical Skills
- 7.17Problem Solving
- 7.18Flexibility
- 7.19Legal Knowledge:
- 7.20Continuous Improvement
- 7.21Case Studies
- 7.22Rest
- Warehousing and Distribution16
- 8.11- Warehouse Design and Layout
- 8.2Space Utilization:
- 8.3Product Segmentation
- 8.4Flow Efficiency
- 8.5Technology Integration
- 8.6Safety Measures
- 8.7Flexibility
- 8.82- Distribution Network Optimization
- 8.9Network Design
- 8.10Inventory Positioning
- 8.11Transportation Management
- 8.12Order Fulfillment
- 8.13Data Analytics
- 8.14Collaboration with Suppliers and Carriers
- 8.15Rest
- 8.16Case Studies
- Supply Chain Risk Management18
- 9.11- Identifying and Assessing Risks
- 9.2Supplier Risks
- 9.3Demand Risks
- 9.4Logistics and Transportation Risks
- 9.5Operational Risks
- 9.6Regulatory and Compliance Risks
- 9.72- Risk Mitigation Strategies
- 9.8Diversification
- 9.9Supplier Relationship Management
- 9.10Inventory Management
- 9.11Technology Integration
- 9.12Risk Transfer
- 9.133- Contingency Planning
- 9.14Scenario Planning
- 9.15Alternative Suppliers and Routes
- 9.16Communication Protocols
- 9.17Cross-Training and Redundancy
- 9.18Emergency Response Teams
- Information Technology in Supply Chain4
- Sustainability and Ethical Considerations3
- Global Supply Chain Management3
- Performance Measurement and Metrics22
- 13.11- Key Performance Indicators (KPIs)
- 13.2Marketing
- 13.3Sales
- 13.4Human Resources
- 13.5Healthcare
- 13.6Technology/IT
- 13.7Social Media
- 13.82- Balanced Scorecard in Supply Chain
- 13.9Financial Perspective
- 13.10Customer Perspective
- 13.11Internal Process Perspective
- 13.12Learning and Growth Perspective
- 13.13Alignment with Organizational Strategy
- 13.14Holistic Performance Measurement
- 13.15Strategic Decision-Making
- 13.16Continuous Improvement
- 13.173- Continuous Improvement Strategies
- 13.18Key Principles
- 13.19Tools and Techniques
- 13.20Benefits
- 13.21Rest
- 13.22Case Studies
- Fundamentals of Market Segmentation19
- 14.1Demographic Segmentation
- 14.2Psychographic Segmentation
- 14.3Behavioral Segmentation
- 14.4Geographic Segmentation
- 14.52- How to Collect and Analyze Customer Data
- 14.6Surveys and Questionnaires
- 14.7Interviews
- 14.8Observational Research
- 14.9Social Media Monitoring
- 14.10Analytics Tools
- 14.11Focus Groups
- 14.123- Market Research Techniques
- 14.13Secondary Research
- 14.14Primary Research
- 14.15Competitor Analysis
- 14.16Trend Analysis
- 14.17SWOT Analysis
- 14.18Case Study
- 14.19Rest
- Supply Chain Integration in Market Segmentation4
- Advanced Segmentation Techniques22
- 16.11- Predictive Analytics and Machine Learning in Market Segmentation
- 16.2Customer Behavior Prediction
- 16.3Cluster Analysis
- 16.4Personalization
- 16.5Churn Prediction
- 16.6Lifetime Value Prediction
- 16.7Dynamic Pricing
- 16.8Sentiment Analysis
- 16.92- Leveraging Big Data for Customer Insights
- 16.10Data Aggregation
- 16.11Real-time Analytics
- 16.12Pattern Recognition
- 16.13Segmentation and Targeting
- 16.14Customer Journey Analysis
- 16.15Sentiment Analysis
- 16.16Security and Privacy Considerations
- 16.173- Integrating Emerging Technologies in Segmentation:
- 16.18Internet of Things (IoT)
- 16.19Augmented Reality (AR) and Virtual Reality (VR)
- 16.20Cross-Technology Integration
- 16.21Case Studies
- 16.22Rest
- Advanced SCM65
- 17.1Introduction to Market Segmentation in SCM
- 17.2Case Study
- 17.3Fundamentals of Market Segmentation
- 17.4Case Study
- 17.5Supply Chain Integration in Market Segmentation
- 17.6Case Study
- 17.7Advanced Segmentation Techniques
- 17.8Case Study
- 17.9Rest
- 17.10Developing Actionable Segments for XYZ Corporation
- 17.11Case Study
- 17.12Implementing and Monitoring the Segmentation Strategy
- 17.13Case Study
- 17.14Addressing Challenges and Overcoming Resistance
- 17.15Case Study
- 17.16Future Trends in Market Segmentation and SCM
- 17.17Case Study
- 17.18Rest
- 17.19Course Conclusion and Action Plan
- 17.20Strategic Procurement and Supplier Relationship Management (SRM)
- 17.21Case Study
- 17.22Lean Supply Chain Management
- 17.23Case Study
- 17.24Demand Forecasting and Planning
- 17.25Case Study
- 17.26Rest
- 17.27Blockchain and Supply Chain Transparency
- 17.28Case Study
- 17.29Risk Management in Supply Chains
- 17.30Case Study
- 17.31Sustainable Supply Chain Management
- 17.32Case Study
- 17.33Technology Integration in SCM
- 17.34Case study
- 17.35Rest
- 17.36Global Supply Chain Management
- 17.37Case Study
- 17.38Performance Measurement and Continuous Improvement
- 17.39Case Study
- 17.40Crisis Management and Resilience
- 17.41Case Study
- 17.42Rest
- 17.43Future Trends and Innovations in SCM
- 17.44Case Study
- 17.45Collaborative Supply Chain Networks
- 17.46Case Study
- 17.47E-commerce and Omnichannel Supply Chains
- 17.48Case Study
- 17.49Data Analytics and Business Intelligence in SCM
- 17.50Case Study
- 17.51Strategic Outsourcing and Insourcing Decisions
- 17.52Case Study
- 17.53Reverse Logistics and Closed-Loop Supply Chains
- 17.54Case Study
- 17.55Warehouse and Distribution Center Optimization
- 17.56Case Study
- 17.57Compliance and Regulatory Considerations in SCM
- 17.58Case Study
- 17.59Knowledge Management in SCM
- 17.60Case Study
- 17.61Strategic Alliances and Joint Ventures in SCM
- 17.62Case Study
- 17.63Final Project and Capstone
- 17.64Rest
- 17.65Exam SCM
Inventory Management
Inventory management is the practice of overseeing and controlling the levels of finished goods, work-in-progress (partially completed items), and raw materials within a supply chain or a business. This process involves monitoring the flow of goods from the manufacturer or supplier to the warehouse, and finally to the point of sale or production line. The primary objectives of inventory management include optimizing stock levels, ensuring product availability, minimizing carrying costs, and preventing stockouts or overstock situations.
Here are some key aspects of inventory management:
- Demand Forecasting: Accurate forecasting of customer demand is crucial for effective inventory management. By understanding expected demand patterns, businesses can adjust their stock levels accordingly, avoiding both shortages and excess inventory.
- Reorder Point: Establishing a reorder point helps determine when to reorder items to prevent stockouts. It considers lead times, demand variability, and desired service levels to trigger replenishment orders.
- Safety Stock: Safety stock is the extra inventory held to protect against uncertainties, such as unexpected demand spikes or delays in the supply chain. It acts as a buffer to prevent stockouts during unforeseen circumstances.
- ABC Analysis: This categorizes inventory items based on their importance, allowing businesses to prioritize management efforts. Class A items are typically high-value, while Class C items are lower in value and may have less frequent replenishment needs.
- Economic Order Quantity (EOQ): EOQ is a formula used to calculate the optimal order quantity that minimizes total inventory holding costs and ordering costs. It helps find the balance between holding too much or too little inventory.
- Just-In-Time (JIT): JIT is an inventory management strategy where items are ordered and received just in time for use in production or sale. This approach minimizes holding costs but requires a highly efficient and reliable supply chain.
- Batch Tracking: For traceability and quality control, some businesses implement batch tracking, which involves assigning a unique identifier to each batch of products. This can be crucial in case of recalls or quality issues.
- Technology and Automation: Inventory management systems, often supported by technology such as barcoding or RFID, help automate tracking and control processes. These systems provide real-time visibility into inventory levels and assist in making informed decisions.
- Supplier Collaboration: Close collaboration with suppliers is important for effective inventory management. Communication about lead times, order quantities, and potential disruptions can help in maintaining an optimal stock level.
- Continuous Monitoring and Analysis: Regular monitoring and analysis of inventory performance, turnover rates, and other key metrics are essential for ongoing improvement. This allows businesses to adapt to changes in demand patterns and market conditions.
By implementing effective inventory management practices, businesses can enhance their operational efficiency, reduce costs, and improve customer satisfaction through reliable product availability.